Garuda - Garba Rujukan Digital

Amesanggeng Pataropura

Universitas Satya Gama

Author-ID : 4240513

Computer Science & IT

Published : 3 Documents Claim Missing Document

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Articles

Design And Development Of Sales E-Monitoring Information System Case Study : PT. Pratama Inti Distribusindo Nicken Litan Margareta; Amesanggeng Pataropura
bit-Tech Vol. 1 No. 1 (2018): First Impression on Computing
Publisher : Komunitas Dosen Indonesia

We must recognize the development of technology at this time has developed very rapidly in this era of globalization. Moreover, the development of internet-based computer technology. By using the internet we can search for the information we need from around the world quickly and accurately. However, there are still many companies in Indonesia that have difficulty in implementing computerized systems within the company, especially in internet-based information systems. From the research conducted, there are several weaknesses in the processing of reports that occur, namely it takes a long time to make a form, record the transactions and also take a lot of paper / media recording. In addition, there is no computerized system dedicated to this process. With the creation of a system of making reports with this method, it is expected to assist in generating reports and checking jobs faster and more accurately. After the design, manufacture, and testing of the application application and inventory inventory program, conclusions can be drawn, namely more company performance efficient and prone to errors if data entry is incorrect. In implementing the new system, it is expected to run smoothly.

Sales Analysis Using the Forecasting Method Amesanggeng Pataropura; Riki Riki; Ariadi Saputra
bit-Tech Vol. 1 No. 3 (2019): Learning Synchronous and Asynchronous in the Industry 4.0
Publisher : Komunitas Dosen Indonesia

Sales Analysis Using Forecasting Method aims to improve effectiveness and efficiency that facilitates companies in business transaction processes, improve the delivery of information quickly, accurately, and transaction data well and minimize errors. The method used in the presentation of this scientific work is by using a forecasting method which helps determine the approximate stock of goods to come. With 3 forecasting modules are: Moving Average, Weighted Moving Average, Trend Projection is used to perform the forecasting process of the upcoming stock of goods. Can solve problems that exist in the current system so that it can help in improving its services by calculating the stock and helping by determining the average data that has been linked to the forecasting module whose results can be concluded through reports per period. It can be concluded that the results of implementing this new system can help companies in recording each transaction that occurs becomes more efficient and effective, so that it can overcome the problems that exist in the current system. With this we can predict the current flow of goods that have been calculated based on 3 (three) modules that have connections with the system

Decision Support System for Selection of Assembly Using Profile Matching Method and Simple Additive Weighting Method (Case Study: GKIN Diaspora Church) Amesanggeng Pataropura; Riki Riki; Joshua Geraldo Manu
bit-Tech Vol. 2 No. 1 (2019): Data Mining and Green Technology
Publisher : Komunitas Dosen Indonesia

The church is a place of worship for Christians who are worshipers, in the church there are many organizers called the assemblies whose task is to regulate and manage all kinds of operational activities related to the worship held on Sundays, the duties and authorities of an assembly are in each position he has. To be a church administrator or assembly can be chosen by the congregation by conducting a selection process from the assemblies in the church and to be appointed by the pastor. The process of selecting the assembly can be an error to choose the assembly that can be subjective. Then a system for decision-making decision support is made using the Profile Matching Method and Simple Additive Weighting (SAW) Method. Where Profile matching is a decision support method using calculation of weight and weighting by dividing the main factors and supporting factors. And using the Simple Additive Weighting (SAW) method is a weighted housing method, by normalizing the decision decision matrix (x) to a scale that can be compared with all available alternative ratings

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